INT-PVK-PRINT
Financiado
An intelligent perovskite solution printing line
Hybrid perovskite photovoltaics (PV) are considered one of the most promising emerging PV technologies that have the potential to becoming a vital part of future’s renewable energy production needed for combating climate change. H...
Hybrid perovskite photovoltaics (PV) are considered one of the most promising emerging PV technologies that have the potential to becoming a vital part of future’s renewable energy production needed for combating climate change. However, the community still struggles with the scaling and reproducibility when printing perovskite thin-film absorber layers from solution due to the complex perovskite formation process that is susceptible to a variety of environment and process parameters.
This project proposes a novel interface between perovskite solution printing and algorithmic optimization and control theory by equipping a roll-to-roll perovskite printing line with in situ characterization, computational data processing and automatically adjustable process parameters. The characterization is given by point-probe reflection/absorption as well as luminescence imaging measurements. Feedback for control is calculated in real-time using simple control algorithms, at first, and progressing in complexity toward the employment of deep reinforcement learning (DRL), later on. The images are analyzed offline using convolutional neural networks for optimizing absorption/reflection set points for the above-described feedback control.
The proposal has two main goals: 1) Boosting the optimization of perovskite solution printing by effectively balancing exploration and exploitation of the large parameter space 2) demonstrating enhanced process control of certain system states to achieve higher process reproducibility and resilience in perovskite printing. These goals are complementary in a sense that control is exceeded on rapidly accessible parameters while optimization is performed with slowly accessible parameters.
In conclusion, this proposal presents a fundamental and concise new methodology of addressing reproducibility and scalability in perovskite solution printing that could be used for printing of functional thin-film, as well, highlighting its generality.
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Duración del proyecto: 29 meses
Fecha Inicio: 2023-03-29
Fecha Fin: 2025-08-31
Fecha Fin: 2025-08-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-03-29
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2022-PF-01-01:
MSCA Postdoctoral Fellowships 2022
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
189K€
Líder del proyecto
UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
N.D. |
Participante